ParaQuery is a data processing technology company offering a scalable, fully managed Spark + SQL solution designed for the GPU era. ParaQuery enables teams to run high-volume ETL workloads and complex queries at twice the speed and half the cost compared to traditional data warehouse solutions, focusing on reducing compute expenses and infrastructure management overhead.
The platform addresses common data engineering challenges such as slow query performance, escalating cloud costs, and time-consuming system maintenance. ParaQuery's core product leverages automatic hardware acceleration, allowing organizations to process large datasets efficiently without needing to overhaul existing storage or rewrite business logic. Its key features include:
- Fully managed Spark + SQL environment with GPU acceleration
- Effortless migration—users can keep their current storage and existing ETL logic
- Zero-hassle integration with white-glove onboarding
- Querying data directly where it resides, eliminating the need for data ingestion
- No vendor lock-in—built on open-source Spark, supporting any open file formats and storage, including cloud (GCP, AWS, Azure) and on-premises deployments
- Flexible deployment—run queries anywhere, with support for hybrid and multi-cloud architectures
ParaQuery is built for data engineering teams, analytics departments, and organizations that require rapid, cost-effective data processing at scale. By focusing on open standards and seamless integration, the platform enables companies to modernize their data infrastructure while maintaining flexibility and control over their data assets.
How Was ParaQuery Started?
ParaQuery was founded by Win Wang, who serves as the company's CEO. Win Wang brings significant experience from previous roles at Twitter (now X), where he developed large-scale developer tools and distributed build systems, and at Bridgewater Associates, where he built data platforms for one of the world's largest hedge funds. His expertise in building high-performance, user-friendly data tools shapes ParaQuery's mission to deliver powerful processing capabilities without sacrificing ease of use.
Who Uses ParaQuery?
ParaQuery is targeted at organizations facing challenges with slow data warehouse performance, high compute costs, or complex infrastructure management—particularly data engineering teams and analytics groups within enterprises and technology companies. The platform is especially suited for teams seeking to accelerate ETL processing, simplify migration from legacy systems, and reduce operational friction. (Specific customer names are not publicly available.)
What Makes ParaQuery Different?
ParaQuery stands out by providing a fully managed Spark + SQL solution with native GPU acceleration, delivering significant speed and cost advantages. The focus on open-source technology, zero vendor lock-in, and white-glove integration means teams can modernize data processing workflows without the risk or complexity of proprietary platforms.
Leadership Team
ParaQuery is led by founder and CEO Win Wang. His background combines deep engineering expertise with real-world experience designing large-scale, high-performance data platforms for major technology and financial firms. This technical leadership ensures ParaQuery remains focused on both usability and efficiency.
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